Explainable Ai Xai For Sustainable Development
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Explainable Ai Xai For Sustainable Development
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Author : Lakshmi D
language : en
Publisher:
Release Date : 2024-06-26
Explainable Ai Xai For Sustainable Development written by Lakshmi D and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-26 with Computers categories.
This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discussed AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain. - Focuses on virtual machine placement and migration techniques for cloud data centres - Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services - Includes application of placement techniques for quality of service, performance, and reliability improvement - Explores data centre resource management, load balancing and orchestration using machine learning techniques - Analyses dynamic and scalable resource scheduling with a focus on resource management The reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.
Explainable Ai Xai For Sustainable Development
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Author : Lakshmi D
language : en
Publisher: C&h/CRC Press
Release Date : 2024-08
Explainable Ai Xai For Sustainable Development written by Lakshmi D and has been published by C&h/CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08 with Technology & Engineering categories.
"This book presents innovative research works to automate, innovate, design, and deploy AI for Real-World Applications. It discussed AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain. Focuses on Virtual machine placement and migration techniques for cloud data centres Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services Includes application of placement techniques for quality of service, performance, and reliability improvement Explores data centre resource management, load balancing and orchestration using machine learning techniques Analyses Dynamic and scalable resource scheduling with a focus on resource management The reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology"--
Explainable Ai Xai For Sustainable Development
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Author : Lakshmi D
language : en
Publisher: CRC Press
Release Date : 2024-06-26
Explainable Ai Xai For Sustainable Development written by Lakshmi D and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-26 with Technology & Engineering categories.
This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain. • Focuses on virtual machine placement and migration techniques for cloud data centres • Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services • Includes application of placement techniques for quality of service, performance, and reliability improvement • Explores data centre resource management, load balancing and orchestration using machine learning techniques • Analyses dynamic and scalable resource scheduling with a focus on resource management The reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.
Explainable Ai With Python
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Author : Leonida Gianfagna
language : en
Publisher: Springer Nature
Release Date : 2021-04-28
Explainable Ai With Python written by Leonida Gianfagna and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-28 with Computers categories.
This book provides a full presentation of the current concepts and available techniques to make “machine learning” systems more explainable. The approaches presented can be applied to almost all the current “machine learning” models: linear and logistic regression, deep learning neural networks, natural language processing and image recognition, among the others. Progress in Machine Learning is increasing the use of artificial agents to perform critical tasks previously handled by humans (healthcare, legal and finance, among others). While the principles that guide the design of these agents are understood, most of the current deep-learning models are "opaque" to human understanding. Explainable AI with Python fills the current gap in literature on this emerging topic by taking both a theoretical and a practical perspective, making the reader quickly capable of working with tools and code for Explainable AI. Beginning with examples of what Explainable AI (XAI) is and why it is needed in the field, the book details different approaches to XAI depending on specific context and need. Hands-on work on interpretable models with specific examples leveraging Python are then presented, showing how intrinsic interpretable models can be interpreted and how to produce “human understandable” explanations. Model-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are “opaque.” Using examples from Computer Vision, the authors then look at explainable models for Deep Learning and prospective methods for the future. Taking a practical perspective, the authors demonstrate how to effectively use ML and XAI in science. The final chapter explains Adversarial Machine Learning and how to do XAI with adversarial examples.
Advances In Explainable Ai Applications For Smart Cities
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Author : Ghonge, Mangesh M.
language : en
Publisher: IGI Global
Release Date : 2024-01-18
Advances In Explainable Ai Applications For Smart Cities written by Ghonge, Mangesh M. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-18 with Computers categories.
As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications. This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications.
Explainable Artificial Intelligence And Solar Energy Integration
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Author : Pandey, Jay Kumar
language : en
Publisher: IGI Global
Release Date : 2024-10-16
Explainable Artificial Intelligence And Solar Energy Integration written by Pandey, Jay Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with Computers categories.
As sustainable energy becomes the future, integrating solar power into existing systems presents critical challenges. Intelligent solutions are required to optimize energy production while maintaining transparency, reliability, and trust in decision-making processes. The growing complexity of these systems calls for advanced technologies that can ensure efficiency while addressing the unique demands of renewable energy sources. Explainable Artificial Intelligence and Solar Energy Integration explores how Explainable AI (XAI) enhances transparency in AI-driven solutions for solar energy integration. By showcasing XAI's role in improving energy efficiency and sustainability, the book bridges the gap between AI potential and real-world solar energy applications. It serves as a comprehensive resource for researchers, engineers, policymakers, and students, offering both technical insights and practical case studies.
Understanding Ai The Rise Of Explainable Intelligence
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Author : Dr. T. V. Sai Krishna
language : en
Publisher: Chyren Publication
Release Date : 2025-04-21
Understanding Ai The Rise Of Explainable Intelligence written by Dr. T. V. Sai Krishna and has been published by Chyren Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-21 with Antiques & Collectibles categories.
Rethinking The Pedagogy Of Sustainable Development In The Ai Era
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Author : Chinedu, Caleb Chiidozie
language : en
Publisher: IGI Global
Release Date : 2025-03-14
Rethinking The Pedagogy Of Sustainable Development In The Ai Era written by Chinedu, Caleb Chiidozie and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Education categories.
Artificial intelligence (AI) technologies can transform the teaching and learning of sustainable development. AI-driven innovative approaches can transform traditional educational practices and encourage experimentation with and development of novel strategies that harness AI's capabilities to enhance sustainability education. By incorporating practical strategies for integrating AI into sustainability education across various contexts, teachers may foster a new generation of learners equipped to contribute to a sustainable future. Additionally, the use of AI allows teachers to foster a culture of continuous improvement and creativity. Rethinking the Pedagogy of Sustainable Development in the AI Era explores the transformative potential of artificial intelligence (AI) in the context of sustainable development education. It examines how AI technologies can be leveraged to enhance the pedagogy of sustainability, offering new methods, tools, and approaches to empower learners with the necessary skills and knowledge to address global sustainability challenges. Covering topics such as circularity, power systems, and vocational pedagogy, this book is an excellent resource for educators, curriculum developers, administrators, policymakers, sustainability practitioners, professionals, researchers, scholars, academicians, and more.
Cutting Edge Solutions For Advancing Sustainable Development Exploring Technological Horizons For Sustainability Part 1
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Author : Pawan Whig, Pavika Sharma, Nikihita Yathiraju
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-03-14
Cutting Edge Solutions For Advancing Sustainable Development Exploring Technological Horizons For Sustainability Part 1 written by Pawan Whig, Pavika Sharma, Nikihita Yathiraju and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Business & Economics categories.
Cutting-Edge Solutions for Advancing Sustainable Development: Exploring Technological Horizons for Sustainability – Part 1 explores the transformative role of emerging technologies in driving global sustainability. This book highlights how artificial intelligence, machine learning, biotechnology, digitization, and smart city innovations contribute to tackling critical environmental and social challenges. Spanning multiple industries, the book examines AI-powered solutions for cybersecurity and retail, sustainable urban planning through IoT and data analytics, green transportation advancements, and the role of digital transformation in achieving sustainable progress. Readers will gain valuable insights into pioneering innovations shaping a more sustainable future, with case studies and real-world applications. Key Features: - In-depth analysis of AI, IoT, biotech, and digitalization for sustainability. - Practical case studies and real-world applications. - Exploration of sustainability in smart cities, transportation, and cybersecurity. - Expert insights on integrating technology for a greener future.
Explainable Artificial Intelligence For Sustainable Development
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Author : Ewa Wanda Ziemba
language : en
Publisher: Routledge
Release Date : 2025-10-13
Explainable Artificial Intelligence For Sustainable Development written by Ewa Wanda Ziemba and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-13 with Business & Economics categories.
This book explores how transparent, interpretable AI technologies can support sustainable progress across industries and societies. It brings together theoretical foundations and practical applications of explainable AI (XAI) aligned with the UN's Sustainable Development Goals (SDGs), offering insights into its potential for responsible innovation. It provides a comprehensive understanding of how explainable AI enhances trust, ethics, and accountability in AI-driven decisions. Through diverse case studies -- from banking, e-commerce, and sustainability reporting, to psychiatry, education, and energy--the book demonstrates XAI's transformative role in driving sustainable business practices and societal well-being. Each chapter merges cutting-edge research with real-world examples, making complex AI systems more accessible and socially relevant. The book bridges gaps between disciplines, offering a holistic and actionable perspective on AI for sustainability. This book is a vital resource for researchers, professionals, and policymakers seeking to harness AI responsibly. Academics in social sciences, economics, and information systems will find a strong theoretical base, while practitioners in business, government, and NGOs gain practical tools for implementing XAI in real contexts. It is also well-suited for students, educators, and AI enthusiasts aiming to align innovation with sustainable, ethical transformation.